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Authors: Muhammad Ali Mughal 1 ; Mansoor Khan 2 ; Aamer Abbas Shah 3 and Aftab Ahmed Almani 3

Affiliations: 1 School of Automation Science and Electrical Engineering, Beihang University, China ; 2 School of Electrical Engineering, Sichuan University, China ; 3 School of Electrical Engineering, Shandong University, China

Keyword(s): DC motor, parameter estimation, particle swarm optimization, PSO, chaotic

Abstract: Parameter estimation plays an important role in system modelling and control. This paper presents a parameter estimation strategy for separately excited DC motor using a chaotic initialized particle swarm optimization algorithm. The parameter estimation problem is converted into an optimization problem using an objective function. The presented strategy is significant in estimating the motor parameters accurately when compared to standard particle swarm optimization portrayed by low mean square error between actual and estimated speed.

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Paper citation in several formats:
Mughal, M.; Khan, M.; Shah, A. and Almani, A. (2018). Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization. In 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT; ISBN 978-989-758-312-4, SciTePress, pages 391-395. DOI: 10.5220/0006971403910395

@conference{icectt18,
author={Muhammad Ali Mughal. and Mansoor Khan. and Aamer Abbas Shah. and Aftab Ahmed Almani.},
title={Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT},
year={2018},
pages={391-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006971403910395},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT
TI - Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization
SN - 978-989-758-312-4
AU - Mughal, M.
AU - Khan, M.
AU - Shah, A.
AU - Almani, A.
PY - 2018
SP - 391
EP - 395
DO - 10.5220/0006971403910395
PB - SciTePress

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